Document Type
Article
Publication Date
2022
DOI
10.1016/j.procs.2022.09.189
Publication Title
Procedia Computer Science
Volume
207
Pages
1331-1340
Conference Name
26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022)
Abstract
The Low/High Index of Pupillary Activity (LHIPA), an eye-tracked measure of pupil diameter oscillation, is redesigned and implemented to function in real-time. The novel Real-time IPA (RIPA) is shown to discriminate cognitive load in re-streamed data from earlier experiments. Rationale for the RIPA is tied to the functioning of the human autonomic nervous system yielding a hybrid measure based on the ratio of Low/High frequencies of pupil oscillation. The paper's contribution is drawn from provision of documentation of the calculation of the RIPA. As with the LHIPA, it is possible for researchers to apply this metric to their own experiments where a measure of cognitive load is of interest.
Rights
© 2022 The Authors.
This is an open access article under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC-BY-NC-ND 4.0) license.
Original Publication Citation
Jayawardena, G., Jayawardana, Y., Jayarathna, S., Högström, J., Papa, T., Akkil, D., Duchowski, A. T., Peysakhovich, V., Krejtz, I., Gehrer, N., & Krejtz, K. (2022). Toward a real-time index of pupillary activity as an indicator of cognitive load. Procedia Computer Science, 207, 1331-1340. https://doi.org/10.1016/j.procs.2022.09.189
Repository Citation
Jayawardena, G., Jayawardana, Y., Jayarathna, S., Högström, J., Papa, T., Akkil, D., Duchowski, A. T., Peysakhovich, V., Krejtz, I., Gehrer, N., & Krejtz, K. (2022). Toward a real-time index of pupillary activity as an indicator of cognitive load. Procedia Computer Science, 207, 1331-1340. https://doi.org/10.1016/j.procs.2022.09.189
ORCID
0000-0002-9523-3346 (Jayawardena), 0000-0001-5992-6818 (Jayawardana), 0000-0002-4879-7309 (Jayarathna)